Ontologies and Knowledge Aggregation in the Active Semantic Learning System

Ioan Szilagyi (1) , Radu Balog-Crisan (1) , Ana Roxin (2) , Ioan Roxin (1)

1 ELLIADD - Edition, Littératures, Langages, Informatique, Arts, Didactique, Discours - UFC (UR 4661)
2 LCE - Laboratoire Chrono-environnement (UMR 6249)

The construction of semantic-based learning systems depends on the development of ontologies and the capacity to integrate and exploit knowledge using semantic technologies, notably RDF and ontologies. In this paper we present some concepts and ontologies defined in the context of the Active Semantic Learning System (Active SLS) that are used to describe resources and the semantic relation between these concepts defined in different ontologies. The purpose is to obtain a learning system that is capable of aggregating knowledge from different sources from the web and to exploiting that knowledge for the benefit of the learner.

Mots clés: Active SLS; semantic learning; ontologies; knowledge; RDF; OWL; LOM; User Profile

Domaines: Modélisation et simulation

Ioan Szilagyi, Radu Balog-Crisan, Ana Roxin, Ioan Roxin. Ontologies and Knowledge Aggregation in the Active Semantic Learning System. 11th IEEE International Conference on Advanced Learning Technologies (ICALT), Jul 2011, Athens, United States. ⟨hal-00701062⟩